M. A. Usera

1.9k citations
46 papers · 1.4k indexed · h-index 20

M. A. Usera

44 papers receiving 1.4k citations

Peers

M. A. Usera
Comparison fields: 5 of 59
  • Endocrinology 729
  • Food Science 1.1k
  • Molecular Medicine 248
  • Biotechnology 317
  • Infectious Diseases 391
Replace Cornelia Bunge with:
Cornelia Bunge Germany
Rasik Khakhria Canada
Kathleen E. Ferris United States
Traute Vardund Norway
I. McLaren United Kingdom
A. Echeíta Spain
María Aurora Echeita Spain
Kazuko Seto Japan
Jason Abbott United States
David W. Lacher United States
M. A. Usera relative to Cornelia Bunge Germany Cornelia Bunge's profile →
Citations per field
00.5×1.5×
Cornelia Bunge · 1×
Citations per year

Countries citing papers authored by M. A. Usera

Since Specialization
Citations

This map shows the geographic impact of M. A. Usera's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. A. Usera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. A. Usera more than expected).

Fields of papers citing papers by M. A. Usera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. A. Usera. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. A. Usera. The network helps show where M. A. Usera may publish in the future.

Co-authorship network

The 25 scholars most cited alongside M. A. Usera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. A. Usera Line = papers co-authored together M. A. Usera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200716
2
Resistencia a los antimicrobianos, perfil plasmídico y ribotipificación en cepas de Shigella sonnei aisladas en Cuba
20061
3 20057
4 200516
5 200518
6
Salmonella enerica "ELHierro", nuevo serotipo para la especie en el lagarto gigante de El Hierro (Gallotia simonyi)
20041
7 200432
8 200387
9 200394
10 200241
11 200264
12
Análisis de las cepas de Salmonella spp aisladas de muestras clínicas de origen humano en España en el año 1999 (II)
200014
13
Analysis of Salmonella isolates from clinical samples from Spain in the year 1999 (II).
20001
14
Análisis de las cepas de Salmonella sp aisladas de muestras de origen no humano en España en el año 1998.
199915
15 199824
16
Síndrome hemolítico urémico y diagnóstico de la infección por Escherichia coli enterohemorrágica
19980
17 19966
18 199516
19 19943
20 199310

About M. A. Usera

M. A. Usera is a scholar working on Endocrinology, Food Science and Biotechnology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (39 papers), Bacteriophages and microbial interactions (16 papers), Listeria monocytogenes in Food Safety (13 papers), Viral gastroenteritis research and epidemiology (11 papers), Escherichia coli research studies (8 papers), Vibrio bacteria research studies (7 papers), Aquaculture disease management and microbiota (7 papers) and Food Safety and Hygiene (4 papers). The work is most often cited by research in Endocrinology (729 citations), Food Science (1.1k citations) and Molecular Medicine (248 citations). M. A. Usera has collaborated with scholars based in Spain, United States and Cuba. Frequent co-authors include María Aurora Echeita, Silvia Herrera, A. Aladueña, A. Echeíta, Javier Garaizar, Timothy J. Barrett, Richard A. Goldsby, Laura Herrera, Miguel Blanco and Jorge Blanco. Their work appears in journals such as Journal of Clinical Microbiology, Research in Microbiology, European Journal of Clinical Microbiology & Infectious Diseases, Journal of Food Protection and Epidemiology and Infection.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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